History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"sprawlier"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 1049 | 2025-10-25 12:31:38 | sprawlier | 4 | 165329 | 500 | 11.750 | 14070.6 |
| 1048 | 2025-10-16 05:07:09 | sprawlier | 1 | 81242 | 3 | 1.453 | 55913.3 |
| 1047 | 2025-08-27 13:34:39 | sprawlier | 1 | 81242 | 3 | 1.500 | 54161.3 |
| 1046 | 2025-08-27 02:50:03 | sprawlier | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 1045 | 2025-08-15 23:56:00 | sprawlier | 1 | 81242 | 3 | 1.453 | 55913.3 |
| 1044 | 2025-08-11 02:00:55 | sprawlier | 3 | 148641 | 64 | 23.813 | 6242.0 |
| 1043 | 2025-08-09 15:30:54 | sprawlier | 1 | 81242 | 3 | 8.673 | 9367.2 |
| 1042 | 2025-08-09 11:54:53 | sprawlier | 1 | 81242 | 3 | 7.843 | 10358.5 |
| 1041 | 2025-08-04 01:21:42 | sprawlier | 1 | 81242 | 3 | 4.876 | 16661.6 |
| 1040 | 2025-08-03 09:31:48 | sprawlier | 1 | 81242 | 3 | 1.313 | 61875.1 |
| 1039 | 2025-08-03 03:19:38 | sprawlier | 2 | 121436 | 14 | 18.670 | 6504.3 |
| 1038 | 2025-08-03 03:04:17 | sprawlier | 3 | 148641 | 64 | 44.426 | 3345.8 |
| 1037 | 2025-08-02 17:01:53 | sprawlier | 1 | 81242 | 3 | 2.906 | 27956.6 |
| 1036 | 2025-08-01 22:40:36 | sprawlier | 1 | 81242 | 3 | 3.156 | 25742.1 |
| 1035 | 2025-08-01 11:08:42 | sprawlier | 1 | 81242 | 3 | 4.360 | 18633.5 |
| 1034 | 2025-08-01 07:14:22 | sprawlier | 1 | 81242 | 3 | 9.313 | 8723.5 |
| 1033 | 2025-08-01 03:47:09 | sprawlier | 1 | 81242 | 3 | 6.876 | 11815.3 |
| 1032 | 2025-07-31 12:44:58 | sprawlier | 1 | 81242 | 3 | 3.610 | 22504.7 |
| 1031 | 2025-07-30 13:51:38 | sprawlier | 1 | 81242 | 3 | 6.860 | 11842.9 |
| 1030 | 2025-07-30 01:35:30 | sprawlier | 1 | 81242 | 3 | 4.173 | 19468.5 |
| 1029 | 2025-07-28 13:13:43 | sprawlier | 4 | 165329 | 500 | 40.900 | 4042.3 |
| 1028 | 2025-07-28 06:08:45 | sprawlier | 1 | 81242 | 3 | 3.186 | 25499.7 |
| 1027 | 2025-07-27 23:56:03 | sprawlier | 4 | 165329 | 500 | 28.890 | 5722.7 |
| 1026 | 2025-07-27 15:29:09 | sprawlier | 4 | 165329 | 500 | 52.033 | 3177.4 |
| 1025 | 2025-07-27 14:19:51 | sprawlier | 3 | 148641 | 64 | 17.623 | 8434.5 |
| 1024 | 2025-07-27 02:40:10 | sprawlier | 2 | 121436 | 14 | 15.016 | 8087.1 |
| 1023 | 2025-07-26 21:41:47 | sprawlier | 1 | 81242 | 3 | 4.846 | 16764.8 |
| 1022 | 2025-07-25 18:26:14 | sprawlier | 1 | 81242 | 3 | 6.296 | 12903.7 |
| 1021 | 2025-07-25 18:20:31 | sprawlier | 1 | 81242 | 3 | 2.096 | 38760.5 |
| 1020 | 2025-07-25 09:22:36 | sprawlier | 1 | 81242 | 3 | 5.940 | 13677.1 |
| 1019 | 2025-07-25 01:09:09 | sprawlier | 1 | 81242 | 3 | 5.296 | 15340.3 |
| 1018 | 2025-07-24 17:05:23 | sprawlier | 1 | 81242 | 3 | 3.296 | 24648.7 |
| 1017 | 2025-07-24 08:57:05 | sprawlier | 4 | 165329 | 500 | 60.706 | 2723.4 |
| 1016 | 2025-07-24 04:45:59 | sprawlier | 1 | 81242 | 3 | 4.016 | 20229.6 |
| 1015 | 2025-07-24 03:25:24 | sprawlier | 1 | 81242 | 3 | 9.313 | 8723.5 |
| 1014 | 2025-07-23 10:54:19 | sprawlier | 1 | 81242 | 3 | 7.296 | 11135.1 |
| 1013 | 2025-07-23 08:49:38 | sprawlier | 1 | 81242 | 3 | 5.656 | 14363.9 |
| 1012 | 2025-07-22 12:22:29 | sprawlier | 1 | 81242 | 3 | 3.046 | 26671.7 |
| 1011 | 2025-07-21 17:04:13 | sprawlier | 1 | 81242 | 3 | 1.390 | 58447.5 |
| 1010 | 2025-07-20 16:05:56 | sprawlier | 1 | 81242 | 3 | 1.593 | 50999.4 |
| 1009 | 2025-07-19 19:31:14 | sprawlier | 1 | 81242 | 3 | 1.436 | 56575.2 |
| 1008 | 2025-07-19 05:35:16 | sprawlier | 1 | 81242 | 3 | 1.563 | 51978.2 |
| 1007 | 2025-07-16 18:53:56 | sprawlier | 1 | 81242 | 3 | 1.423 | 57092.1 |
| 1006 | 2025-07-16 04:21:08 | sprawlier | 4 | 165329 | 500 | 25.660 | 6443.1 |
| 1005 | 2025-07-15 08:21:00 | sprawlier | 1 | 81242 | 3 | 10.093 | 8049.3 |
| 1004 | 2025-07-14 15:44:04 | sprawlier | 1 | 81242 | 3 | 10.580 | 7678.8 |
| 1003 | 2025-07-12 20:15:09 | sprawlier | 1 | 81242 | 3 | 1.470 | 55266.7 |
| 1002 | 2025-07-10 09:38:26 | sprawlier | 3 | 148641 | 64 | 17.126 | 8679.3 |
| 1001 | 2025-07-10 05:06:50 | sprawlier | 1 | 81242 | 3 | 10.203 | 7962.6 |
| 1000 | 2025-07-09 05:44:41 | sprawlier | 1 | 81242 | 3 | 1.483 | 54782.2 |
| 999 | 2025-07-07 18:13:59 | sprawlier | 1 | 81242 | 3 | 1.406 | 57782.4 |
| 998 | 2025-07-07 11:47:28 | sprawlier | 3 | 148641 | 64 | 42.176 | 3524.3 |
| 997 | 2025-07-06 02:40:55 | sprawlier | 1 | 81242 | 3 | 1.453 | 55913.3 |
| 996 | 2025-07-06 02:40:33 | sprawlier | 3 | 148641 | 64 | 8.000 | 18580.1 |
| 995 | 2025-07-06 02:17:07 | sprawlier | 1 | 81242 | 3 | 1.500 | 54161.3 |
| 994 | 2025-07-01 19:02:12 | sprawlier | 3 | 148641 | 64 | 6.856 | 21680.4 |
| 993 | 2025-06-30 22:58:31 | sprawlier | 1 | 81242 | 3 | 4.843 | 16775.1 |
| 992 | 2025-06-30 19:31:47 | sprawlier | 3 | 148641 | 64 | 32.160 | 4621.9 |
| 991 | 2025-06-30 11:40:37 | sprawlier | 1 | 81242 | 3 | 4.330 | 18762.6 |
| 990 | 2025-06-29 19:26:20 | sprawlier | 3 | 148641 | 64 | 15.126 | 9826.9 |
| 989 | 2025-06-29 07:41:55 | sprawlier | 1 | 81242 | 3 | 5.483 | 14817.1 |
| 988 | 2025-06-28 20:03:00 | sprawlier | 3 | 148641 | 64 | 6.530 | 22762.8 |
| 987 | 2025-06-28 19:28:23 | sprawlier | 3 | 148641 | 64 | 6.436 | 23095.2 |
| 986 | 2025-06-28 17:25:28 | sprawlier | 1 | 81242 | 3 | 1.470 | 55266.7 |
| 985 | 2025-06-27 22:36:36 | sprawlier | 3 | 148641 | 64 | 34.266 | 4337.9 |
| 984 | 2025-06-27 15:19:45 | sprawlier | 1 | 81242 | 3 | 6.126 | 13261.8 |
| 983 | 2025-06-27 08:47:29 | sprawlier | 1 | 81242 | 3 | 10.623 | 7647.7 |
| 982 | 2025-06-26 12:01:55 | sprawlier | 1 | 81242 | 3 | 9.110 | 8917.9 |
| 981 | 2025-06-24 12:27:41 | sprawlier | 1 | 81242 | 3 | 3.733 | 21763.2 |
| 980 | 2025-06-24 12:05:08 | sprawlier | 3 | 148641 | 64 | 37.080 | 4008.7 |
| 979 | 2025-06-23 01:27:50 | sprawlier | 1 | 81242 | 3 | 2.826 | 28748.1 |
| 978 | 2025-06-22 14:51:02 | sprawlier | 4 | 165329 | 500 | 64.563 | 2560.7 |
| 977 | 2025-06-22 13:19:05 | sprawlier | 4 | 165329 | 500 | 65.193 | 2536.0 |
| 976 | 2025-06-21 16:02:17 | sprawlier | 4 | 165329 | 500 | 71.413 | 2315.1 |
| 975 | 2025-06-20 18:50:33 | sprawlier | 4 | 165329 | 500 | 58.266 | 2837.5 |
| 974 | 2025-06-20 08:46:01 | sprawlier | 4 | 165329 | 500 | 62.346 | 2651.8 |
| 973 | 2025-06-20 02:48:37 | sprawlier | 1 | 81242 | 3 | 10.623 | 7647.7 |
| 972 | 2025-06-19 08:54:16 | sprawlier | 2 | 121436 | 14 | 3.966 | 30619.3 |
| 971 | 2025-06-18 18:23:27 | sprawlier | 3 | 148641 | 64 | 7.813 | 19024.8 |
| 970 | 2025-06-18 13:44:22 | sprawlier | 3 | 148641 | 64 | 49.546 | 3000.1 |
| 969 | 2025-06-18 03:05:13 | sprawlier | 4 | 165329 | 500 | 56.940 | 2903.6 |
| 968 | 2025-06-17 19:12:39 | sprawlier | 2 | 121436 | 14 | 4.390 | 27662.0 |
| 967 | 2025-06-17 12:10:46 | sprawlier | 1 | 81242 | 3 | 1.546 | 52549.8 |
| 966 | 2025-06-15 13:42:59 | sprawlier | 1 | 81242 | 3 | 1.486 | 54671.6 |
| 965 | 2025-06-13 14:10:09 | sprawlier | 1 | 81242 | 3 | 1.470 | 55266.7 |
| 964 | 2025-06-13 03:40:20 | sprawlier | 3 | 148641 | 64 | 7.250 | 20502.2 |
| 963 | 2025-06-12 19:26:45 | sprawlier | 1 | 81242 | 3 | 1.483 | 54782.2 |
| 962 | 2025-06-10 13:27:07 | sprawlier | 1 | 81242 | 3 | 7.940 | 10232.0 |
| 961 | 2025-06-10 03:37:56 | sprawlier | 1 | 81242 | 3 | 5.596 | 14517.9 |
| 960 | 2025-06-06 16:45:07 | sprawlier | 3 | 148641 | 64 | 54.126 | 2746.2 |
| 959 | 2025-06-05 22:06:05 | sprawlier | 3 | 148641 | 64 | 53.410 | 2783.0 |
| 958 | 2025-06-04 10:44:52 | sprawlier | 3 | 148641 | 64 | 41.656 | 3568.3 |
| 957 | 2025-06-03 07:12:11 | sprawlier | 3 | 148641 | 64 | 19.483 | 7629.3 |
| 956 | 2025-06-01 20:22:40 | sprawlier | 3 | 148641 | 64 | 29.830 | 4982.9 |
| 955 | 2025-06-01 07:41:45 | sprawlier | 1 | 81242 | 3 | 1.423 | 57092.1 |
| 954 | 2025-05-28 19:09:45 | sprawlier | 3 | 148641 | 64 | 16.670 | 8916.7 |
| 953 | 2025-05-27 10:28:47 | sprawlier | 1 | 81242 | 3 | 3.983 | 20397.2 |
| 952 | 2025-05-24 22:02:45 | sprawlier | 1 | 81242 | 3 | 4.030 | 20159.3 |
| 951 | 2025-05-24 12:43:53 | sprawlier | 1 | 81242 | 3 | 3.296 | 24648.7 |
| 950 | 2025-05-24 12:17:05 | sprawlier | 3 | 148641 | 64 | 28.503 | 5214.9 |